Artificial Intelligence in Management Studies (2021–2025): A Bibliometric Mapping of Themes, Trends, and Global Contributions

AbstractAI has risen as one of the most influential topics in scientific research over the past decade, focusing on the application of AI technologies in multiple disciplines. Management, as a science that has been studied, researched, and applied, shows great opportunities in terms of AI applications, notably as a tool for enhancing decisionmaking, sustainability in managerial practices, and so on.this bibliometric study aims to investigate the trends of AI research in management, defining the focus areas and research gaps publications were gathered from the scopus database, and were processed through the bibliometrix library of the R studio analysis software, data were represented using the VOSviewer software,the research yielded a significant amount of papers with different topics, data analysis comprised country of origine, publication journal, author and keyword co-occurence.The results showed an increase in publications stuying the uses of AI in management from 2021 to 2024 and a sharp decline of publication output in 2025. leading countries were shown to be china, india and the United States which dominated in volume of publication, while the United Kingdom dominated in citation impact. The dominating journals were ustainability, Technological Forecasting and Social Change, and IEEE Transactions on Engineering Management respectively. The Keywords co-occurence and thematic mapping showed showed an increasing shift from technical applications to societal aspects such as sustainability, digital transformation, and decision-making support.The research shows a strategic shift in AI research, a changing landscape from pure and applied AI toward a more nuanced type of studied.Keywords. Artificial Intelligence ; Management ; Bibliometric Analysis ; Technological Innovation ; Digital Transformation.Classification JEL: O32Paper type: Theoretical Research.

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Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-08-27
DOI
https://doi.org/10.5281/zenodo.16956545
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

Artificial Intelligence in Management Studies (2021–2025): A Bibliometric Mapping of Themes, Trends, and Global Contributions

SPIRE - Sciences Po Institutional REpository
Geochemistry and Geologic Mapping
article

Artificial Intelligence in Management Studies (2021–2025): A Bibliometric Mapping of Themes, Trends, and Global Contributions

article en

Abstract

AbstractAI has risen as one of the most influential topics in scientific research over the past decade, focusing on the application of AI technologies in multiple disciplines. Management, as a science that has been studied, researched, and applied, shows great opportunities in terms of AI applications, notably as a tool for enhancing decisionmaking, sustainability in managerial practices, and so on.this bibliometric study aims to investigate the trends of AI research in management, defining the focus areas and research gaps publications were gathered from the scopus database, and were processed through the bibliometrix library of the R studio analysis software, data were represented using the VOSviewer software,the research yielded a significant amount of papers with different topics, data analysis comprised country of origine, publication journal, author and keyword co-occurence.The results showed an increase in publications stuying the uses of AI in management from 2021 to 2024 and a sharp decline of publication output in 2025. leading countries were shown to be china, india and the United States which dominated in volume of publication, while the United Kingdom dominated in citation impact. The dominating journals were ustainability, Technological Forecasting and Social Change, and IEEE Transactions on Engineering Management respectively. The Keywords co-occurence and thematic mapping showed showed an increasing shift from technical applications to societal aspects such as sustainability, digital transformation, and decision-making support.The research shows a strategic shift in AI research, a changing landscape from pure and applied AI toward a more nuanced type of studied.Keywords. Artificial Intelligence ; Management ; Bibliometric Analysis ; Technological Innovation ; Digital Transformation.Classification JEL: O32Paper type: Theoretical Research.

SPIRE - Sciences Po Institutional REpository
Digital Science (United States) (US)
Openalex Percentile: Top 64%
Geochemistry and Geologic Mapping
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Artificial Intelligence in Management Studies (2021–2025): A Bibliometric Mapping of Themes, Trends, and Global Contributions · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS